Randomized experiments, A/B tests and sequential monitoring

It is now commonplace for organizations with websites or mobile
apps to run randomized controlled experiments, or “A/B tests” as
they’re often called in industry. Such experiments provide a
reliable way to determine which product changes lead to the most
successful user interactions. In this lecture we will discuss
why randomized experiments are so important, talk about some of
the key design choices that go into A/B tests, and get a brief
introduction to sequential monitoring of experimental results.

Moving to Wyoming

The management of dependencies among classes is one of the most important (and
underappreciated) aspects of object-oriented programming. In this talk I make a
case for composition over inheritance and give a brief introduction to dependency
injection. I then spend the rest of the talk outlining a step-by-step,
Fowler-style method for migrating incrementally from a system built upon static
binding of global state to one that uses dependency injection exclusively.

Distributed Web Crawling with Python and AWS

In this talk I share some of my experiences developing a large-scale web crawler
using Python and AWS. I give an overview of the Mercator web crawler, share some
tips and hard-earned wisdom on implementing Mercator with Python and AWS, and end
with some real-world results from our crawls.

Autotest

Music

complicated or not

Recorded in late 2013/early 2014 while I was playing with a couple of awesome
musicians in Little Heart. I played the lead guitar parts, wrote some of them, and
coiled and uncoiled a lot of microphone cables.